Open to opportunities

Anastasiia Piterskaia

@anastasiiapiterskaia

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Head of Data scaling AI and analytics platforms for high-growth products.

Russian Federation

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What I'm looking for

I’m looking to lead a high-impact data organization where I can build 0-to-1 platforms, scale product analytics, and ship LLM-powered systems—partnering with product and engineering to drive experimentation, reliability, and measurable conversion and cost improvements.

I’m a Head of Data with 8+ years of experience building and scaling data functions for high-growth mobile gaming and AI products (up to 50M installs, 1M+ MAU). I’ve grown data organizations from 4 to 20+ professionals, covering engineering, analytics, and data science.

I drive product strategy through experimentation—improving key conversion rates by 130%—and I modernize data infrastructure to cut costs (by 30%) while maintaining performance. In recent work, I architected and delivered an end-to-end data and AI platform from scratch for a smart-city application.

I also specialize in 0-to-1 data platform development and LLM-powered analytics (RAG, NLP pipelines, recommender systems), improving LLM output accuracy to 98% with evaluation frameworks and data-quality optimization. I lead teams to automate analytical workflows with LLMs, strengthen reliability with Great Expectations, and build scalable infrastructure using Airflow, Kafka, PostgreSQL, and Elasticsearch.

Experience

Work history, roles, and key accomplishments

Current

Head of Data

Current

Webeet.io

Nov 2024 - Present (1 year 5 months)

Built and scaled the data organization from 4 to 20+ professionals across engineering, analytics, data science, and BI, including new roles and internship programs. Architected an end-to-end data and AI platform from scratch for a smart-city application and reduced infrastructure/tooling costs by ~30% by migrating from managed services to an optimized self-hosted PostgreSQL stack while improving L

Data Engineering Data Architecture Airflow Kafka PostgreSQL Elasticsearch LLM Evaluation Great Expectations Metabase

Lead Data Analyst

AY Games (Mad Pixel)

May 2024 - Nov 2024 (6 months)

Led analytics transformation for a mobile game with 500K+ downloads, expanding from marketing-only reporting to end-to-end product analytics across acquisition, gameplay, and retention. Designed A/B testing and segmentation strategies, improving retention and extending average session time by ~30 minutes and contributing to ~15% ARPU growth, while increasing ROAS by ~20% via automated attribution

Product Analytics A B Testing User Segmentation Dashboarding Data Automation Retention

Lead Data Analyst

Playrix

Sep 2022 - Mar 2023 (6 months)

Owned product analytics for a live mobile game with ~1M MAU, influencing product, monetization, and game design strategy. Reduced churn by ~20% and increased ARPPU by ~15% through A/B tests, built KPI frameworks for new prototypes in an incubator, and identified churn drivers using clustering to enable targeted retention campaigns.

Product Analytics A B Testing Monetization & Analytics KPIs Clustering Experiment Design

Senior Data Analyst

Plarium

Jun 2018 - Sep 2022 (4 years 3 months)

Progressed from Junior to Senior Data Analyst over 4+ years, leading BI and analytics initiatives for mobile games with 10M–50M installs and multi-million monthly revenue. Scaled a team of 4 analysts, drove experimentation that increased conversion rates by ~130%, and reduced manual reporting workload by 80+ hours per month through BI automation and Tableau dashboard adoption.

Team Leadership Experimentation Strategy A B Testing Tableau Data Visualization Conversion Rate Optimization Data Governance

Trading Operations Analyst

Cargill

Jun 2016 - Aug 2017 (1 year 2 months)

Executed 20+ daily commodity trades, ensuring timely settlement and compliance, and optimized trading workflows by monitoring crude oil production, storage capacity, and seed supply. Produced daily/weekly/monthly P&L statements and analyzed export-import data and production/yield trends to support market strategy and mitigate trading risks.

Commodity Trading P&L Statements Compliance Monitoring Risk Mitigation

Education

Degrees, certifications, and relevant coursework

Darla Moore School of Business, University of South Carolina

Master of Arts in Economics, Economics

2017 - 2018

Grade: GPA 3.83

Earned an M.A. in Economics at the University of South Carolina (2017–2018) with a GPA of 3.83.

University of South Carolina

Post-Baccalaureate Certificate in Applied Statistics, Applied Statistics

2017 - 2018

Grade: GPA 4.0

Completed a post-baccalaureate certificate in Applied Statistics (Programming in Statistics specialization) at the University of South Carolina (2017–2018), GPA 4.0.